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The inefficient sparse matrix operation in colloc_JacODE_region is optimized according to the method intruduced in Loren's blog (http://blogs.mathworks.com/loren/2007/03/01/creating-sparse-finite-element-matrices-in-matlab/). More than 10x efficiency improvement can be expected for large BVP systems.
The mex file SPARSE2.MEXW32 is compiled from SuiteSparse(http://www.cise.ufl.edu/research/sparse/SuiteSparse/). It is about 2x faster than SPARSE. If you encounters problem with it, just comment it out in bvp5c2 and use the MATLAB function sparse.
Cite As
junziyang (2026). bvp5c2 (https://se.mathworks.com/matlabcentral/fileexchange/24360-bvp5c2), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (228 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
